Triple
T5017728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HealtheIntent |
E112773
|
entity |
| Predicate | aggregatesDataFrom |
P2191
|
FINISHED |
| Object | electronic health records |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: electronic health records | Statement: [HealtheIntent, aggregatesDataFrom, electronic health records]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aggregatesDataFrom Context triple: [HealtheIntent, aggregatesDataFrom, electronic health records]
-
A.
aggregateState
Indicates the overall or combined condition or status resulting from multiple underlying states or components.
-
B.
collectsFrom
chosen
Indicates that one entity gathers, receives, or takes something (such as items, data, or payments) from another entity.
-
C.
dataPortal
Indicates that an entity serves as or is associated with an online interface or gateway through which data can be accessed, managed, or distributed.
-
D.
dataReturned
Indicates that some data has been sent back or provided as a result of a request, query, or operation.
-
E.
usedDataFrom
Indicates that one entity utilized or relied on data originating from another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd734037a88190a950db814412a023 |
completed | March 20, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69bd714ecfe08190b5830cfc1c74fa17 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.